Senior AI Developer

Intact

AI Developer designing production-grade AI systems to boost engineering productivity. Collaborating with domain teams to prototype, build, and implement AI solutions.

Posted 7/9/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$118,700 - CA$145,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable AI solutions using LLMs and Agentic AI platforms, with a strong focus on improving productivity across the software development lifecycle. Proficient in cloud platforms, containerization, and modern CI/CD practices, while effectively communicating and translating operational needs into actionable solutions.

Highest-signal resume keywords

7+ Years In Software Engineering2+ Years Building Solutions With LLMsProficiency In Java, Python, And/Or TypeScriptExcellent Knowledge Of Cloud Platforms (GCP/AWS)Strong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData/ML EngineeringPlatform EngineeringBuilding Production ServicesIntegrationsAI Solutions DevelopmentAI-Driven TestingRoot Cause AnalysisAutomation Of WorkflowsRAG Pipelines

Soft Skills

Strong Communication SkillsProduct Mindset

Tools & Technologies

GCPAWSDockerKubernetesCI/CDLLMsAgentic AI Platforms

Industry Keywords

SDLCPrototypingObservabilityScalabilitySecurityIncident TriagingTask AutomationDocument IngestionEmbedding CreationVersioning

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformJavaKubernetesPythonSDLCTypeScript

About the role

Key responsibilities & impact

Partner with domain teams to identify high-ROI use cases.
Prototype, build, and own production ready (scalable, observable, secure) AI solutions, leveraging leading LLMs and Agentic AI platforms.
Drive adoption of solutions through demos and user training.
Improve productivity throughout the entire SDLC process with AI solutions, from Requirements and Design phase to Coding and Testing to Deployment and Runtime Operations.
Improve AI-driven testing, troubleshooting, incident triaging, root cause analysis, and automation of repetitive workflows with verifiable outcomes.
Build agentic automation, orchestrate multi-step workflows that plan tasks, call tools/APIs, and execute autonomously with clear guardrails.
Implement RAG pipelines, ingest documents, create embeddings, index vectors, retrieve and rerank results, and ground outputs with citations.
Develop system prompts, templates, and structured outputs (e.g., JSON) with versioning and evaluation.
Set up tracing, relevance/factuality evaluations, and dashboards for cost, latency, and quality metrics.
Contribute to best practices, patterns, and internal enablement materials.

Requirements

What you’ll need

7+ years in software engineering, data/ML engineering, or platform engineering
2+ years building solutions with LLMs
Proficiency in Java, Python, and/or TypeScript; experience building production services and integrations
Excellent knowledge of cloud platforms (GCP/AWS), containerization (Docker/Kubernetes), and modern CI/CD
Strong communication skills and a product mindset—able to translate operational pain points into robust solutions
For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.

Benefits

Comp & perks

Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)